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How Mobile In-App Analytics Can Save Your App

Analytics are at the are the heart of many businesses today, helping companies mine data to improve productivity, decrease costs, understand customer preferences, and much more. But when it comes to mobile apps, developers and enterprises are in the dark. There's little data available about how mobile apps are used, how effective they are, and how end-users respond to them.

Colin Steele, TechTarget

Colin Steele, TechTarget

But that's changing, according to a blog post on SearchMobileComputing by Colin Steele. Steele looks at the state of mobile in-app analytics, explains how it can make mobile apps far more effective, and offers advice on how to use it.

Steele notes that more and more, analytics are being built into mobile apps, and can answer questions such as how many buttons it takes to accomplish common tasks, what sequence of events causes an app to crash, and which features users ignore --- and why.

He notes that one problem with mobile app rollouts is that developers typically test app performance and user experience in beta tests before the app is released, and only with a controlled subset of users. That's problematic, because it doesn't reflect the real-world experiences of how an app is actually used.

That's why in-app analytics are important. Philippe Winthrop, global mobility evangelist at IT services provider CSC, explained to Steele, "In-app analytics are critical to application lifecycle management There is no such thing as version one-and-done of an enterprise mobile app. You're always going to be iterating."

Getting Started with Mobile In-App Analytics

Steele notes that there are plenty of mobile in-app analytics vendors out there, with plenty more on the ways. Localytics, Crittercism, Appsee and Twitter's Crashlytics are just a few. IBM, Adobe, and other vendors include in-app analytics as part of larger mobile platforms.

A major challenge for enterprises getting started with in-app analytics is what to do with what the analytics uncover. How can that information be fed back to developers? What's the process for gathering analytics? Who in the organization should get the information? What is the new workflow for building and improving apps? Companies need to decide all that before using an analytics platform.

And finally, analytics is one thing, but making use of what you find something else entirely. You need a flexible development platform that lets you iterate quickly --- something at which that Alpha Anywhere excels. For more details, click here.

To read Colin Steele's full post, click here.
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About Author

Amy Groden-Morrison
Amy Groden-Morrison

Amy Groden-Morrison has served more than 15 years in marketing communications leadership roles at companies such as TIBCO Software, RSA Security and Ziff-Davis. Most recently she was responsible for developing marketing programs that helped achieve 30%+ annual growth rate for analytics products at a $1Bil, NASDAQ-listed business integration Software Company. Her past accomplishments include establishing the first co-branded technology program with CNN, launching an events company on the NYSE, rebranding a NASDAQ-listed company amid a crisis, and positioning and marketing a Boston-area startup for successful acquisition. Amy currently serves as a Healthbox Accelerator Program Mentor, Marketing Committee Lead for the MIT Enterprise Forum of Cambridge Launch Smart Clinics, and on the organizing team for Boston TechJam. She holds an MBA from Northeastern University.

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The Alpha platform is the only unified mobile and web app development and deployment environment with distinct “no-code” and “low-code” components. Using the Alpha TransForm no-code product, business users and developers can take full advantage of all the capabilities of the smartphone to turn any form into a mobile app in minutes, and power users can add advanced app functionality with Alpha TransForm's built-in programming language. IT developers can use the Alpha Anywhere low-code environment to develop complex web or mobile business apps from scratch, integrate data with existing systems of record and workflows (including data collected via Alpha TransForm), and add additional security or authentication requirements to protect corporate data.